INDUSTRY INDEX DESIGN

B2B SaaS AI Visibility Index Methodology

This index design adapts the CBI measurement standard to use-case fit, implementation, integrations and adoption. It is built for CMO, product marketing, RevOps and enterprise software buyers. No company has been scored in this methodological release.

Enterprise team reviewing an AI visibility benchmark and evidence-led research

INDUSTRY INDEX DESIGN

Priority Question Families

Discovery

Which providers are eligible for the category and priority use cases?

Comparison

How do options differ on use-case fit, implementation, integrations and adoption?

Risk and proof

Which concerns surface, and what public evidence supports the answer?

INDUSTRY INDEX DESIGN

Index Dimensions

P

Presence

Entity appearance across eligible questions.

R

Recommendation

Explicit, use-case-bound suggestions.

F

Framing

Strengths, cautions and fit conditions.

C

Citations

Source support, diversity and provenance.

S

Stability

Agreement across controlled repetitions.

INDUSTRY INDEX DESIGN

Release Condition

No observed B2B SaaS ranking exists yet

A future release must name the companies, freeze the buyer-question corpus, document surfaces and collection dates, preserve answer evidence, apply the published codebook and disclose limitations.

Review the industry weighting scorecards / Explore the Buyer Question Atlas

Next Useful Step

Request An AI Visibility Diagnostic

Choose one company, one competitive set and one revenue-critical buyer journey. We will identify the decision questions, representation gaps and evidence requirements that matter most.